Fraud Risk Data Scientist - Real-Time ML & Analytics

A data solutions company is seeking an Associate Fraud Risk Data Scientist in San Jose, CA. This hybrid role involves designing and deploying AI/ML models for fraud detection and mitigating risk within eCommerce and payments. Candidates should have 2-6 years of experience in data science and proficiency in Python, SQL, and data visualization tools like Tableau. This position offers competitive compensation and the chance to work on cutting-edge AI technology in a dynamic environment. #J-18808-Ljbffr